Events Search and Views Navigation
November 2024
Getting started with SPSS Statistics
You are invited to join us for this free educational event in which you’ll learn about IBM SPSS Statistics – one of the most highly-regarded analytical software platforms. There’s a lot of talk about big data and predictive analytics at the moment, and IBM SPSS Statistics is at the forefront of this current wave of interest as one of the most powerful yet accessible analytics tools available. If you’ve been thinking about how your organisation could benefit from predictive analytics…
Find out more »How to interpret significance tests
What do so called ‘significance tests’ signify? In this webinar Jarlath Quinn will unpack the reasoning and theory associated with p values, null hypotheses and the whole idea of using statistics to carry out ‘tests’
Find out more »Performing Bayesian analyses in SPSS
In this webinar Jarlath Quinn explores Bayesian approaches to statistical analysis and shows how to perform and interpret a Bayesian tests in SPSS. Content includes: The historical and theoretical context of the classical ‘Frequentist’ statistical approach and its Bayesian counterpart The concept of Prior Probabilities and how these are utilised in Bayes Theorem Credible intervals and the use of Bayes Factor as an alternative to P values How to perform a Bayesian Analysis in SPSS Statistics and how to interpret…
Find out more »December 2024
Using SPSS for marketing applications
In this webinar we will show you how you can use IBM's powerful data analytics tool SPSS Statistics to help with a series of classic direct marketing challenges such as identifying which creatives or offers perform significantly better, finding the most valuable customers, uncovering useful segments, and predicting customer behaviour. In just one hour we will show you how you can leverage SPSS to make smarter, data-driven marketing decisions. In particular, we'll cover four powerful techniques that can transform how…
Find out more »January 2025
Is deployment the elephant in the Machine Learning room?
Deployment is the most critical step in any data science or machine learning process. It is where our ML/AI models are typically put to work in business and industrial process. Where most of the value of a data science project is derived. If we can't deploy then all the cost and effort invested in discovery, data engineering and model development is wasted. Yet, according to many industry analysts more often then not deployment does not happen. Indeed, 43% of Data…
Find out more »February 2025
Model building for optimisation: improving efficiency and profitability
Presenters - Robert Cordina from Funis Consulting & John McConnell from Smart Vision In this 60 minute webinar our two presenters, both veterans of advanced analytics, modelling and optimisation, will provide an overview of optimisation theory and the different types of optimisation that can be deployed to solve complex business problems, providing sample use cases for each approach. You will see examples of models for optimisation of cost and time parameters based on real life examples. You will learn, using…
Find out more »